Employing Program Semantics for Malware Detection
- Submitting institution
-
City, University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 389
- Type
- D - Journal article
- DOI
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10.1109/TIFS.2015.2469253
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 2591
- Volume
- 10
- Issue
- 12
- ISSN
- 1556-6013
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper developed a new techniques to identify the malware in computer networks. The work is ground-breaking and has been identified as novel by the US Air Force and Navy research and has led to another research grant to detect malware in the encrypted domain. The main idea is to identify computer viruses using programming semantics. In addition it also opened up a new area of research to use pointers at encrypted programmes to identify modifications to the original source code of any application
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -